activity
20202022
most citedTransformerFusion: Monocular RGB Scene Reconstruction using Transformers

31 citations · 31 across the 2 of their papers we have counts for

collaborators

5 papers

cs.CV2022

SPAMs: Structured Implicit Parametric Models

Pablo Palafox, Nikolaos Sarafianos, Tony Tung +1

Parametric 3D models have formed a fundamental role in modeling deformable objects, such as human bodies, faces, and hands; however, the construction of such parametric models requ…

cs.CV202131 cited

TransformerFusion: Monocular RGB Scene Reconstruction using Transformers

Aljaž Božič, Pablo Palafox, Justus Thies +2

We introduce TransformerFusion, a transformer-based 3D scene reconstruction approach. From an input monocular RGB video, the video frames are processed by a transformer network tha…

cs.CV2021

NPMs: Neural Parametric Models for 3D Deformable Shapes

Pablo Palafox, Aljaž Božič, Justus Thies +2

Parametric 3D models have enabled a wide variety of tasks in computer graphics and vision, such as modeling human bodies, faces, and hands. However, the construction of these param…

cs.CV2020

Neural Deformation Graphs for Globally-consistent Non-rigid Reconstruction

Aljaž Božič, Pablo Palafox, Michael Zollhöfer +3

We introduce Neural Deformation Graphs for globally-consistent deformation tracking and 3D reconstruction of non-rigid objects. Specifically, we implicitly model a deformation grap…

cs.CV2020

Neural Non-Rigid Tracking

Aljaž Božič, Pablo Palafox, Michael Zollhöfer +3

We introduce a novel, end-to-end learnable, differentiable non-rigid tracker that enables state-of-the-art non-rigid reconstruction by a learned robust optimization. Given two inpu…